In a simple regression analysis, the correlation between the two variables (x and y) is strong and negative. This implies that: Select all that apply. The slope of the regression line will be negative. All the data points will lie on the regression line. As x increases, y tends to decrease. As x decreases, y tends to decrease. As x increases, y tends to increase. The coefficient of determination will be negative. The slope and the correlation coefficient will be equal